The aim of this study is to analyze the influencing factors on consumers’ repurchase intention towards a brand of a mobile phone. The theory of reasoned action has been used in this study to measure consumer repurchase intention. This theory considers consumer attitude towards action and subjective norms as influencing factors on consumer purchase intention. In this study, past behaviour is also added to the model to measure consumers’ repurchase intention. The exploratory study was conducted in the State of Qatar and the results showed that peoples’ attitudes toward action, subjective norms and past behaviour tend to have a significant influence on their repurchase intention. However, the analysis reveals that there is a negative relationship between consumers’ repurchase intention and mobile phone price, size and consumers’ past behaviour. Results of this study can be used by the marketing managers to devise strategies to attract consumers by understanding the factors that affect repurchase intentions.
AjzenI. (1985). From intentions to actions: A theory of planned behavior. In KuhlJ. & BeckmannJ. (Eds), Action control: From cognition to behavior (pp. 11–39), Heidelberg-Berlin: Springer-Verlag.
2.
AjzenI. (1987). Attitudes, traits, and actions: Dispositional prediction of behaviour in personality and social psychology. In BerkowitzL. (Ed.), Advances in experimental social psychology (Vol. 20, pp. 1–63). New York: Academic Press.
3.
AjzenI. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
4.
AjzenI. (2008). Consumer attitudes and behavior. In HaugtvedtC.P., HerrP. M., & CardesF. R. (Eds), Handbook of Consumer Psychology (pp. 525–548). New York: Lawrence Erlbaum Associates.
5.
AjzenI., & FishbeinM. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
6.
AjzenI., & FishbeinM. (2005). The influence of attitudes on behavior. In AlbarracínD., JohnsonB. T., & ZannaM. P. (Eds), The handbook of attitudes (pp. 173–221). Mahwah, NJ: Erlbaum.
7.
BagozziR. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607–627.
8.
BarutcuS. (2008). Consumers’ attitudes towards mobile marketing and mobile commerce in consumer markets. Retrieved from http://www.eab.ege.edu.tr/pdf/8_1/C8-S1-M2.pdf
9.
BeckL., & AjzenI. (1991). Predicting dishonest actions using the theory of planned behavior. Journal of Research in Personality, 25(5), 285–301.
10.
BentlerP. M., & SpeckartG. (1979). Models of attitude–behavior relations. Psychological Review, 86(3), 452–464.
11.
Bertelsmann Stiftung (BTI). (2010). Qatar country report. Gütersloh: Bertelsmann Stiftung. Retrieved from http://www.bertelsmann-transformation-index.de/fileadmin/pdf/Gutachten_BTI2010/MENA/Qatar.pdf
12.
BlecharJ., ConstantiouI., & DamsgaardJ. (2006). Exploring the influence of reference situations and reference pricing on mobile service user behavior. European Journal of Information Systems, 15(4), 285–291.
13.
BouhlelO., MzoughiN., HadijiD., & Ben SlimaneI. (2009). Brand personality and mobile marketing: An empirical investigation. Retrieved from http://www.waset.org/journals/waset/v53/v53-113.pdf
14.
BrightA. D. (1993). Application of the theory of reasoned action to the national park service’s controlled burn policy. Journal of Leisure Research, 25(3), 263–281.
15.
CalvoA. (1998). Theory of Reasoned Action/Theory of Planned Behavior. Retrieved from http://www.infosihat.gov.my/artikelHP/bahanrujukan/HETheory/Theory%20of%20Reasoned%20Action.pdf
16.
ChattopadhyayT. (2010). The information processing of advertisements by urban young men of India. Global Business Review, 11(3), 449–462.
17.
ChenS. (2010). The effect of product attractiveness, brand innovativeness, and monetary price on product evaluation: Cases of the Taiwan and United States of America, mobile phone industry. ProQuest Dissertations and Theses (PQDT). Retrieved from http://gradworks.umi.com/34/30/3430485.html
18.
ChenS., & LiS. (2010). Consumer adoption of e-service: Integrating technology readiness with the theory of planned behavior. African Journal of Business Management, 4(16), 3556–3563.
19.
CIA Fact Sheet. (2011). Qatar. Retrieved from https://www.cia.gov/library/publications/the-world-factbook/geos/qa.html
20.
DavisF. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
21.
FishbeinM. (1967). Attitude and the prediction of behavior. In FishbeinM. (Ed.), Readings in attitude theory and measurement (pp. 477–492). New York: Wiley.
22.
FishbeinM., & AjzenI. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA; Don Mills/Ontario: Addison-Wesley Pub. Co.
23.
FredricksA. J., & DossettD. L. (1983). Attitude behavior relations: A comparison of the Fishbein–Ajzen and the Bentler–Speckart models. Journal of Personality and Social Psychology, 45(5), 501–512.
24.
GieleF. (2009). Chinese consumer behavior: An introduction. Retrieved from http://fransgiele.be/freematerial/2009chineseconsumerbehaviour.pdf
25.
HuF., DuX., & LiuY. (2010). Mobile manufacturer or service provider? An empirical study on consumers’ adoption intention. Retrieved from http://www.sersc.org/journals/IJUNESST/vol3_no2/1.pdf
26.
IAMAI and e Technology Group. (2006). Mobile value added services in India. Retrieved from http://www.iamai.in/Upload/Research/mobile.pdf
27.
International Telecommunication Union (ITU). (2011). Mobile cellular subscriptions per 100 inhabitants, 2000–2010. Retrieved from http://www.itu.int/ITU-D/ict/statistics/
28.
IqbalZ. (2010). Gender differences in mobile phone use: What communication motives does it gratify?European Journal of Scientific Research, 46(4), 510–522.
29.
JacksonE., QuaddusM., IslamN., & Stanton (2006). Hybrid vigour of behavioral theories in the agribusiness research domain. Is it possible? Retrieved from http://docserver.ingentaconnect.com/deliver/connect/iagrm/18162495/v3n3/s2.pdf?expires=1363976469&id=73452729&titleid=41000063&accname=Guest+User&checksum=10734C6B53722A624C6E3242BDE62720
30.
KalbaK. (2008). The global adoption and diffusion of mobile phones. Retrieved from http://pirp.harvard.edu/pubs_pdf/kalba/kalba-p08-1.pdf
31.
KarjaluotoH., KarvonenJ.KestiM., KoivumäkiT., ManninenM., PakolaJ., RistolaA., & SaloJ., (2005). Factors affecting consumer choice of mobile phones: Two studies from Finland. Journal of Euromarketing, 14(3), 59–82.
32.
KatzJ., & SugiyamaS. (2005). Mobile phones as fashion statements: The co-creation of mobile communication’s public meaning. Retrieved from http://cmcs.rutgers.edu/publications/articles/mobile%20phones%20as%20fashion%20statements.pdf
33.
KimJ., MaW., & ParkJ. (2009). Are US consumers ready to adopt mobile technology for fashion goods? An integrated theoretical approach. Journal of Fashion Marketing and Management, 13(2), 215–230.
34.
LeeY. (2007). Older adults’ user experiences with mobile phones: Identification of user clusters and user requirements. Retrieved from http://scholar.lib.vt.edu/theses/available/etd09172007135013/unrestricted/Dissertation_YSL.pdf
35.
LiJ. (2010). Current Chinese consumer purchase behavior case: Shanzhai mobile phones. Retrieved from https://publications.theseus.fi/bitstream/handle/10024/17339/Jun_Li-Shanzhai%20Mobile%20PhonesCurrent%20Chinese%20Consumer%20Purchase%20Behaviour.pdf?sequence=1
36.
LuJ., YuC. S., LiuC., & YaoJ. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–202.
37.
LiuY. (2007). Online interaction readiness: Conceptualization and measurement. Journal of Customer Behavior, 6(3), 283–299.
38.
MalleniusS., RossiM., & TuunainenV. (2005). Factors Affecting the Adoption and Use of Mobile Devices and Services by Elderly People—Results from a Pilot Study. Retrieved from http://classic.marshall.usc.edu/assets/025/7535.pdf
39.
Market Publishers. (2011). Qatar Information Technology Report Q2. Retrieved from http://pdf.marketpublishers.com/454/qatar_information_technology_report_q2_2011.pdf
40.
PeslakA., & BhatnagarN. (2009). A review of Internet shopping factors: Do the technology acceptance model or theory of reasoned action model apply? Retrieved from http://libra.msra.cn/Publication/6723879
41.
PetruzzellisL. (2008). Mobile phone choice: Technology versus marketing. The brand effect in the Italian market. European Journal of Marketing, 44(5), 610–634.
42.
RanjbarianB., FathiS., & KamaliA. (2010). The factors affecting on consumers’ repurchase intention toward an automobile brand: An application of reasoned action theory. European Journal of Social Sciences, 16(3), 361
43.
RouagW. (2011). Information technology in Qatar. Retrieved from http://www1.american.edu/carmel/SR3362A/QATAR.HTML
44.
SadeS., & OyN. (2002). Mobile ease-of-use and desirability through user-centered design. Retrieved from http://ssgrr2002w.atspace.com/papers/188.pdf
45.
SondhiN., & SinghviS. R. (2006). Gender influences in garment purchase: An empirical analysis. Global Business Review, 7(1), 57–75.
46.
SrikesM., LouvierisP., & CollinsC. (2009). The impact of culture on mobile phone purchasing: A comparison between Thai and British consumers. Retrieved from http://www.ecis2009.it/papers/ecis2009-0515.pdf
47.
TrafimowD., & BorrieW. (1999). Influencing future behavior by priming past behavior: A test in the context of petrified forest national park. Retrieved from http://www.cfc.umt.edu/personnel/borrie/papers/Trafimow%20Borrie%201999%20LS.pdf
48.
TsengF., & LoH. (2011). Antecedents of consumers’ intentions to upgrade their mobile phones. Journal of Telecommunications Policy, 35(1), 74–86.
49.
WrightR. (2006). Consumer behavior: Thomson learning. Retrieved from http://estore.bized.co.uk/freecontent/30005AD7.pdf
50.
YangK., & Jo LeeH. (2010). Gender differences in using mobile data services: Utilitarian and hedonic value approaches. Journal of Research in Interactive Marketing, 4(2), 142–156.
